DescriptionWe have an exciting opportunity for you to advance your data engineering career and make a meaningful impact by joining our innovative team.
Job summary
As a Data Engineer II at JPMorgan Chase within Corporate Data and Analytics Service team you design and deliver trusted scalable data solutions using modern technologies. You collaborate with us to drive critical technology initiatives that support business objectives and foster a culture of growth and inclusion.
Job responsibilities
- Design develop and maintain scalable data pipelines using Python and Spark
- Build and optimize ETL workflows in Databricks leveraging Delta Lake features
- Integrate and manage data across AWS services such as S3 Lambda and EKS
- Collaborate with data analysts and business stakeholders to deliver solutions
- Ensure data quality integrity and security across engineering processes
- Monitor troubleshoot and optimize pipeline performance and resource usage
- Document data flows architecture and processes for internal knowledge sharing
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 2 years applied experience
- Proficient in Python for data processing and automation
- Strong experience with Apache Spark (PySpark) for distributed data processing
- Hands-on experience with Databricks platform and Delta Lake
- Solid understanding of AWS cloud services including S3 Lambda EKS and Aurora DB
- Experience with ETL design data modeling and data warehousing concepts
- Familiarity with CI/CD tools and practices for data engineering
Preferred qualifications capabilities and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience with orchestration tools such as Airflow
- Experience with REST APIs and data integration
Required Experience:
IC
DescriptionWe have an exciting opportunity for you to advance your data engineering career and make a meaningful impact by joining our innovative team.Job summaryAs a Data Engineer II at JPMorgan Chase within Corporate Data and Analytics Service team you design and deliver trusted scalable data solu...
DescriptionWe have an exciting opportunity for you to advance your data engineering career and make a meaningful impact by joining our innovative team.
Job summary
As a Data Engineer II at JPMorgan Chase within Corporate Data and Analytics Service team you design and deliver trusted scalable data solutions using modern technologies. You collaborate with us to drive critical technology initiatives that support business objectives and foster a culture of growth and inclusion.
Job responsibilities
- Design develop and maintain scalable data pipelines using Python and Spark
- Build and optimize ETL workflows in Databricks leveraging Delta Lake features
- Integrate and manage data across AWS services such as S3 Lambda and EKS
- Collaborate with data analysts and business stakeholders to deliver solutions
- Ensure data quality integrity and security across engineering processes
- Monitor troubleshoot and optimize pipeline performance and resource usage
- Document data flows architecture and processes for internal knowledge sharing
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 2 years applied experience
- Proficient in Python for data processing and automation
- Strong experience with Apache Spark (PySpark) for distributed data processing
- Hands-on experience with Databricks platform and Delta Lake
- Solid understanding of AWS cloud services including S3 Lambda EKS and Aurora DB
- Experience with ETL design data modeling and data warehousing concepts
- Familiarity with CI/CD tools and practices for data engineering
Preferred qualifications capabilities and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
- Experience with orchestration tools such as Airflow
- Experience with REST APIs and data integration
Required Experience:
IC
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